Triple
T11333454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Up (I’ve Had Enough) |
E268406
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Runaway Trains |
E477251
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Runaway Trains | Statement: [Let Me Up (I’ve Had Enough), hasTrack, Runaway Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runaway Trains Context triple: [Let Me Up (I’ve Had Enough), hasTrack, Runaway Trains]
-
A.
Runaway Trains
chosen
Runaway Trains is a song by British rock band Tom Petty and the Heartbreakers, known for its reflective lyrics and melodic rock sound.
-
B.
Two Trains Running
Two Trains Running is a play by August Wilson that explores the lives and struggles of African Americans in a 1960s Pittsburgh diner.
-
C.
Stop That Train
"Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
-
D.
Stop This Train
"Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
-
E.
This Train
"This Train" is a traditional American gospel song popularized by Sister Rosetta Tharpe, celebrated for its driving rhythm and moralistic lyrics about a righteous journey to salvation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.